Leicester
1 – 1
Full time
Middlesbrough
Leicester vs Middlesbrough betting tips
Leicester vs Middlesbrough finished 1-1. Limited historical data available. Strong model confidence for Final Time 1X. Consider this a high-confidence pick.
What are the tips for Leicester vs Middlesbrough?
1X2
Pick: Final Time 1X
· Odds 1.32
· Prob 75%
VIP
Won
Match insights: form, goals and model lean
Limited historical data available. Strong model confidence for Final Time 1X. Consider this a high-confidence pick.
Previous meetings and recent results
Leicester recent
1 Nov 2025
Leicester vs Blackburn
0-2
25 Oct 2025
Millwall vs Leicester
1-0
21 Oct 2025
Hull City vs Leicester
2-1
18 Oct 2025
Leicester vs Portsmouth
1-1
4 Oct 2025
Swansea vs Leicester
1-3
26 Sep 2025
West Bromwich vs Leicester
1-1
20 Sep 2025
Leicester vs Coventry
0-0
13 Sep 2025
Oxford United vs Leicester
2-2
29 Aug 2025
Leicester vs Birmingham
2-0
23 Aug 2025
Charlton vs Leicester
0-1
Middlesbrough recent
1 Nov 2025
Watford vs Middlesbrough
3-0
22 Oct 2025
Sheffield Wednesday vs Middlesbrough
0-1
17 Oct 2025
Middlesbrough vs Ipswich
2-1
4 Oct 2025
Portsmouth vs Middlesbrough
1-0
30 Sep 2025
Middlesbrough vs Stoke
0-0
27 Sep 2025
Southampton vs Middlesbrough
1-1
19 Sep 2025
Middlesbrough vs West Bromwich
2-1
13 Sep 2025
Preston vs Middlesbrough
2-2
30 Aug 2025
Middlesbrough vs Sheffield United
1-0
23 Aug 2025
Norwich vs Middlesbrough
1-2
Who will win Leicester vs Middlesbrough?
Frequently asked questions
Who will win Leicester vs Middlesbrough?
Our model currently leans Final Time 1X with about 75% confidence. See free and VIP markets below.
What are the odds for Leicester vs Middlesbrough?
The featured free market shows odds around 1.32 (decimal). Switch odds format in the header if you prefer American or Fractional.
Where can I see H2H and recent form?
Scroll to Insights and H2H on this page for head-to-head results, recent W/D/L form, and goal averages when enough history is available.
Last updated 28 Oct 2026 14:25 UTC · Insights built from Betting Tips historical predictions · Data quality: insufficient